Triple

T16652271
Position Surface form Disambiguated ID Type / Status
Subject Laurent Fignon E404634 entity
Predicate eyewear P66471 FINISHED
Object round glasses LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: round glasses | Statement: [Laurent Fignon, eyewear, round glasses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eyewear
Context triple: [Laurent Fignon, eyewear, round glasses]
  • A. hasEyeWear chosen
    Indicates that one entity is wearing or equipped with some form of eyewear (such as glasses, goggles, or similar eye accessories).
  • B. eyePatch
    Indicates that one entity wears or has an eye patch, typically covering one of their eyes.
  • C. eyeType
    Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
  • D. earType
    Indicates the specific kind or classification of ears associated with an entity.
  • E. eyeCondition
    Indicates that an entity has, experiences, or is characterized by a particular condition or disorder affecting the eyes.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf7ae7c81908b6807acd8f1669b completed April 18, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69e319b1d7f08190b5ecb4a68c636c15 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:18 a.m.